Fernando Moreira
Also known as: Fernando Moreira, F. Moreira, Moreira, F.
Universidade Portucalense, Universidade Aberta, Universidade do Porto Faculdade de Engenharia
Research areas: Computer Science · Information Systems · Mobile Learning in Education · Educational Games and Gamification · Educational Technology and E-Learning
About
Fernando Moreira established the Science and Technology Department, created the first engineering degrees, and served as its head from May 2018 until February 2022. He earned his Bachelor's degree in Computer Science in 1992, a Master's degree in Electronic Engineering in 1997, and a PhD in Electronic Engineering in 2003, all from the Faculty of Engineering at the University of Porto. In 2018, he also achieved his Habilitation. He has been a member of the University since 1992 and currently holds the position of Full Professor. Additionally, he serves as a visiting professor at several other esteemed universities. His teaching portfolio encompasses a range of subjects across undergraduate and postgraduate studies. He also supervises PhD and Master's students. He has made significant contributions to his field, with over 350 peer-reviewed, Scopus-indexed scientific publications in national and international journals and conferences. He serves on the Editorial Advisory Board for several journals and books. He has organised numerous special issues for JCR journals (Telematics and Informatics, Future Generation Computer Systems, Cluster Computing, Expert Systems, etc.). His commitment to advancing research is reflected in his consistent participation as Conference Chair, Workshop Chair, Chief Guest, and Keynote speaker, as well as on the programme and scientific committees of national and international conferences. He served as the MSc in Computation coordinator for a decade, demonstrating his dedication to academic leadership. He is a member of the REMIT research centre steering committee, with extensive editorial experience and a track record of co-editing several books. His professional affiliations include NSTICC, ACM, and IEEE. His primary research interests include mobile computing, AI in higher education, Machine Learning, and Digital transformation. He received the prestigious Atlas Elsevier Award in April 2019 for his contributions. Ranked in the top 0.72% in Computer Science by ScholarGPS (2026)
Employment
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Universidade Portucalense Professor Catedrático / Full Professor2022 - Present
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Universidade Portucalense Professor Catedrático / Diretor do Departamento de Ciência e Tecnologia2019 - 2022
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Universidade Portucalense Professor Associado com Agregação / Diretor do Departamento de Ciência e Tecnologia2018 - 2019
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Universidade Portucalense Professor Associado2010 - 2018
Education
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Universidade Aberta Agregação2018 - 2018
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Universidade do Porto Faculdade de Engenharia Doutoramento
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Universidade do Porto Faculdade de Engenharia Mestrado
Projects & Funding
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Twin NavAux (Promoción del uso del gemelo digital en la industria auxiliar naval de Galicia – Norte de Portugal) Interreg2023 - 2025
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SPADATAS (Security and Privacy in Academic Data management at Schools) Erasmus+2022 - Present
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Projeto SPuMoNI – Smart Pharmaceutical Manufacturing Horizon 2020 Framework Programme2020 - 2022
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Instituto de Engenharia Eletrónica e Informática de Aveiro Fundação para a Ciência e a Tecnologia2019 - 2019
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IJP - Instituto Jurídico Portucalense Fundação para a Ciência e a Tecnologia2019 - 2019
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IEcPBI – Ecossistema Interativo para a Internacionalização das Empresas Portuguesas FCT (Lisboa, PT)2018 - 2022
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Ecosistema Interativo para a Internacionalização das Empresas Portuguesas Fundação para a Ciência e a Tecnologia2018 - 2022
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Red Colaborativa para soportar los procesos de enseñanza-aprendizaje en el área de Interacción Humano - Computador a nivel Iberoamericano Asociación Universitaria Iberoamericana de Postgrado2016 - Present
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Transformação Digital no Setor da Construção do Tâmega e Sousa COMPETE 2020
Publications (393)
- Artificial Intelligence Applied to Consumption Forecasting in the Energy Mix: A Bibliometric Analysis Save
- Integrating Ancestral Knowledge and Internet of Things for Sustainable Water Management in the Kisgó Indigenous Community Save
- Narrative-Based Robotic Assistant for Detecting and Alerting Major Depressive Episodes in Youth Save
- RNA-Protein Interactions Prediction Using LSTM-CNN Technique Save
- Real-Time Assessment of Water Quality Parameters Utilizing Arduino UNO and Sensor Technology Save
- A Differentiable Keras-Based Adaptive Neuro-Fuzzy Inference System for Diabetes Prediction Using NHANES 1999–2018 Data Save
- Avaliação Formativa de Usabilidade de um Dispositivo Tangível de Alfabetização com Crianças em Vulnerabilidade Socioeconômica Save
- Seleção Adaptativa Local de Palavras em Dispositivo Tangível de Alfabetização: Análise Retrospectiva Baseada em Competências Fonêmicas Save
- Um Framework para Desenvolvimento de Tecnologias Educacionais em Contextos de Deserto Digital Save
- Hybrid DQN–PPO control for joint queue management and bandwidth allocation under bursty network traffic Save
- Light-wDEF: lightweight deepfake evaluation framework for efficient and reliable visual detection Save
- An Anonymized Geospatial Dengue Surveillance Dataset for Risk Stratification: A Municipality–Year Analytical Resource for Unsupervised Clustering Save
- Analysis of Facial Emotion Recognition with Various Techniques Save
- ERYXNet: a lightweight yet robust architecture for multi-type wound classification Save
- NeuroXAI-Caps: an explainable CNN–capsule network for early Alzheimer’s diagnosis Save
- Affective User Experience (AUX) in Immersive Environments: A Systematic Review of Affective Computing in Immersive Environments for Individuals with Autism Spectrum Disorder (ASD) Save
- Empowering Diverse Abilities: A Revised DesignABILITY Framework for Designing Assistive Technologies Save
- A novel ensemble transfer learning approach for lung cancer classification using advance VGGNet16 with wavelet transform equalization & CL-PSO Save
- A K-Means-Based Strategy for Estimating the MIP in Integrated Information Theory Save
- Deep Feature Extraction Combined with Random Forest for Kiwi Leaf Disease Detection Save